Dolphin Uncensored AI App vs a Hosted API

The short answer: app for chatting, API for building

If you want to type to a model and read replies, a chat app is the quickest route. If you want your own interface, a bot, a writing tool or a pipeline, an API is the better fit, because the app decides how the model is shown and you do not. Most people searching for a dolphin uncensored ai app are really choosing between those two jobs.

The name "Dolphin" is used for a family of community fine-tuned open-weight models, and several apps and local runners let you chat with them. This site does something different: it hosts one open-weight, uncensored text model behind an OpenAI-compatible API. It is not an app, and it is not an official release of any model vendor. You bring your own front end, or use one of the many clients that accept a custom endpoint.

Option	You get	You give up
Hosted chat app	Zero setup, a ready interface	Control over prompts, storage and features
Local runner on your machine	Data stays on your hardware	VRAM, speed and upkeep become your job
Hosted OpenAI-compatible API	Your own front end, pay per token	You write or pick the client yourself

What an app decides for you

An app bundles three things: a model, a prompt layer and an interface. You usually cannot see the second one. A hidden system prompt, a fixed temperature or a trimmed history can change how replies read, and you cannot adjust any of it.

That is fine for casual use. It becomes a problem when you need repeatable output. If you write fiction with a consistent narrator, run a companion bot for adults, or classify text in batches, you want to set the system prompt, the sampling settings and the stop sequences yourself.

Questions to ask about any app

• Can you read and edit the system prompt?
• Where are conversations stored, and can you delete them?
• Is there an export or an API, or only a web page?
• How is usage billed: subscription, credits or per token? Check their current pricing before you commit.

Running a Dolphin-style model locally

A local runner is the other popular answer. You download open weights, load them into a runner on your own machine and chat through its window or a small local server. The model never leaves your computer, which is the strongest privacy position available.

The cost is hardware and time. Weights have to fit in video memory, with room left for the context cache. As a rough guide, a model needs about one gigabyte per billion parameters at 8-bit precision, and about half that at 4-bit, before the cache. Larger models want more than a single consumer card offers, and a long context grows the cache further. You also handle updates, prompt templates and crashes. If you want to see how local costs compare with pay-per-token pricing, work out your monthly token volume first, then compare it with the per-token rates on the pricing page. For a plain explanation of what "uncensored" does and does not mean, read Uncensored AI: Myths vs Facts.

Using a hosted API as your own app

An API turns the model into a building block. You send a request, you get text back, and everything around it is yours: the look, the memory, the rules. Because this API follows the OpenAI format, any client that lets you change the base URL works. Chat front ends, roleplay tools, editors and scripts all qualify.

The connection details are always the same:

• Base URL: https://api.dolphinuncensoredai.com/v1
• Model ID: uncensored
• Auth header: Authorization: Bearer YOUR_KEY

A minimal request with curl looks like this:

Copycurl https://api.dolphinuncensoredai.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"uncensored","messages":[{"role":"user","content":"Write a two-line opening for a noir story."}]}'

If you prefer Python, the official OpenAI SDK is enough:

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.dolphinuncensoredai.com/v1", api_key="YOUR_KEY")

reply = client.chat.completions.create(
    model="uncensored",
    messages=[
        {"role": "system", "content": "You are a patient editor for adult fiction writers."},
        {"role": "user", "content": "Suggest three ways to open chapter one."},
    ],
)
print(reply.choices[0].message.content)

The API documentation lists every endpoint, including streaming and tool calling.

Privacy, cost and customization compared

Privacy

Local is the most private. A hosted API sits in the middle: prompts travel to the provider, but they are not used for training here, and you choose what to store on your side. With a hosted app, you depend on that app's storage rules, so read them.

Cost

The API charges $0.15 per 1M input tokens and $0.50 per 1M output tokens, from prepaid credit with no subscription. A chat turn with 1,500 tokens in and 400 tokens out costs 1,500 x $0.15 / 1M + 400 x $0.50 / 1M = $0.000225 + $0.0002 = $0.000425. That is about 2,350 such turns per dollar. Failed or refused requests are not charged, and credit never expires.

Customization

An app gives you its settings page. An API gives you temperature, top_p, stop, seed, the penalties, JSON mode and tool calling, plus whatever interface you build. See pricing for top-up amounts and bonuses.

Picking a front end for the API

You do not have to write a client from scratch. Many open-source chat front ends and roleplay tools let you add an OpenAI-compatible endpoint: paste the base URL, the key and the model ID uncensored, and the model appears in the picker. Check each tool's own documentation for where that setting lives, since menus differ between versions.

If you do write your own, start with the smallest thing that works: one script, one system prompt, a list of messages that grows each turn. Add streaming once the basic loop runs. Add history trimming once conversations get long. The context window is 100,000 tokens, prompt plus completion, which is a lot of room, but long chats cost more per turn because the full history is sent as input every time.

Think about where your users are. A private tool for yourself can be a single script. A tool for a small community needs per-user history, a way to reset a conversation and some rate handling, because one key allows 8 concurrent requests. A streamed reply holds its slot until the stream ends, so a busy bot should queue messages instead of firing them all at once. If you hit the limit, the API returns HTTP 429 and you retry after a short wait.

One rule applies whatever you build: the model is tuned to answer without content refusals for lawful adult use, and sexual content involving minors is a hard limit that is never produced.

Getting started in five minutes

1. Create an account with Google, or with email and password.
2. Open the API key page and claim the $0.50 trial credit with one click. It needs no card, is valid for 7 days and is limited to one per person.
3. Copy your key and run the curl command above.
4. If it works, point your preferred client at the same base URL.
5. When you are ready for more, top up with any whole amount from $20 to $500, paid in USDT on TRC20 or USDC on Base.

The trial key allows 2 concurrent requests and 60 requests per minute. A full key allows 8 concurrent and 300 per minute, which is plenty for a personal front end.

More guides

• What Does It Cost to Run Dolphin Uncensored AI?
• Uncensored AI: Myths vs Facts

Fact: Dolphin delivers powerful, unrestricted answers

Dolphin is an open-weight model family designed explicitly for unrestricted dialogue. It retains the strong instructional capabilities of its base architecture while removing the tendency to refuse lawful adult or controversial topics. This makes it ideal for NSFW content creation, roleplay, and sensitive data analysis.

Our hosted API serves the "uncensored" variant of this model. It is not a custom proprietary model from another vendor. It is a specific tuning of an open-weight architecture. You get the benefits of a large context window (100k tokens) with the freedom to push boundaries. The model answers directly. It does not hedge. It does not lecture. This consistency is why many developers switch from commercial APIs to dedicated uncensored endpoints.

Myth: You need to run it locally for privacy

Local deployment guarantees your prompts never leave your machine, but it demands expensive hardware and technical maintenance. Running a 70B parameter model locally requires massive VRAM and careful quantization. For most developers, the trade-off is not worth it.

Hosted APIs offer a middle ground. Many providers, including ours, use a no-training policy. Your prompts are processed in memory and discarded. They are not used to fine-tune future models. This provides sufficient privacy for most business and creative use cases without requiring you to buy a $3,000 GPU. You get the speed of the cloud with the privacy of a dedicated instance.

Fact: Hosted APIs with no-training policies exist

Not all hosted APIs are created equal. Some commercial providers use your data to train their next-generation models. This is a risk if your prompts contain proprietary code or sensitive creative work. Dedicated uncensored providers often operate on a simpler model: you pay for compute, they do not claim ownership of your data.

Our API uses a straightforward no-training approach. We process your requests and return the output. We do not scrape your conversations. This transparency is crucial for NSFW creators who want to know their content stays theirs. You can use the same OpenAI-compatible SDKs you already know. The integration is seamless. The privacy is guaranteed by policy, not just hope.

Myth: Uncensored AI is expensive

Premium closed models charge a premium for their brand and marketing. Uncensored APIs cut out the middleman. By using open-weight models and direct inference, costs drop significantly. You pay for tokens, not for a subscription to a polished dashboard.

Our pricing reflects this reality. Input tokens cost $0.15 per million. Output tokens cost $0.50 per million. This is often cheaper than the per-token cost of GPT-4 or Claude. You only pay for what you use. There are no monthly fees. If you do not use the API, you do not pay. This model works for both high-volume scrapers and occasional creators.

Fact: Token pricing is often cheaper than GPT-4

When you break down the cost per token, uncensored APIs frequently undercut commercial leaders. GPT-4o charges significantly more for similar output lengths. For heavy users generating thousands of messages, this difference adds up quickly. Our rates are transparent and fixed.

There are no hidden fees for streaming. There are no extra charges for function calling. The price you see is the price you pay. Prepaid credit ensures you control your spend. You can top up with crypto whenever needed. The math is simple. You get more output for your dollar. This efficiency is why many developers build their own interfaces around these APIs instead of paying for expensive third-party platforms.

Myth: All refusals are removed

"Uncensored" does not mean "lawless." Most models still retain hard blocks on illegal content, particularly child sexual abuse material (CSAM). This is often a legal requirement for the data centers or the model weights themselves. You will get adult content, violence, and political controversy, but you will not get CSAM.

This is a critical distinction. If you need a model that will refuse nothing, even illegal content, you might need a specialized fine-tune. For 99% of NSFW and creative use cases, the standard uncensored model is perfect. It removes the annoying "I am an AI assistant" disclaimers. It allows mature themes. It does not censor your creativity. Just know that the hard limit remains in place.

Myth: Crypto payments are complicated

You do not need to share your banking details. Transactions are instant. Our support for USDT on TRC20 and USDC on Base makes funding your account simple. You send the exact amount you want. The credit appears in your account immediately.

There are no monthly subscriptions to manage. No auto-renewal traps. You pay $20 to $500 per transaction. Bonus credit is added automatically for larger top-ups. You get 5% extra for $50, 10% for $100, and 15% for $200. The process is transparent. You can see your balance in real-time. No bank holds. No disputed charges. It is the purest form of digital payment for digital services.

Fact: USDT/USDC top-ups are instant and simple

Topping up takes seconds. You select your amount, copy the wallet address, and send your crypto. The system detects the transaction and credits your account. There is no waiting period. No manual review. No paperwork. This speed is essential for developers who need to spin up tests or launch campaigns instantly.

We support whole dollar amounts from $20 to $500. This range covers most individual developer needs. If you need more, contact support. The bonus structure rewards volume. You keep your credit forever. It never expires. You can use it next month or next year. This flexibility gives you total control over your budget. No surprises. No hidden fees. Just simple, direct payment for simple, direct API access.